Forskjeller

Her vises forskjeller mellom den valgte versjonen og den nåværende versjonen av dokumentet.

--- tma4145:2019h:log [2019-07-12]
franzl
+++ tma4145:2019h:log [2019-10-08]
franzl
@@ Linje 8: / Linje 8: @@
   * Tuesday: Left and right inverses, inverses for functions and their characterization in terms of injectivity, surjectivity and bijectivity. Cardinality and countable sets. See Chapter 1.2-1.3 in LN.
+''Second week (week 35)''
+  * Monday:  Supremum and infimum of sets and functions. See Chapter 1.3-1.4 in LN.
+  * Tuesday:  Real (and complex) vector spaces, basic examples of vector spaces, subspaces and linear transformations between vector spaces. See Chapter 2.1 in LN.
+''Third week (week 36)''
+  * Monday:  Normed spaces,metric spaces, p-norms, Young's inequality, Hoelder's inequality. See Chapter 2.2 in LN.
+  * Tuesday:  Triangle inequality for ||.||_p norms of real n-tuples, complex n-tuples sequences and functions.
+''Fourth week (week 37)''
+  * Monday: Inner product spaces, properties of the inner product, Cauchy-Schwarz inequality. See Chapter 2.2-2.3 in LN.
+  * Tuesday: Examples of inner product spaces, Jordan-von Neumann's characterization of norms induced by inner products, polarization identities, orthogonality, Pythagoras' theorem, convergence of sequences in normed spaces. See Chapters 2.3 and 3.1 in LN.
+''Fifth week (week 38)''
+  * Monday: Convergent sequences in metric and normed spaces, bounded subsets and limit points, Cauchy sequences. See Chapter 3.1 in LN.
+  * Tuesday: Cauchy sequences and completeness, completeness of (R,|.|), examples of Banach spaces and completeness of the space of d-tuples with the sup-norm. See Ch. 3.1-3.2 in LN.
+''Sixth week (week 39)''
+  * Monday: Further examples of Banach spaces, complete subspaces, uniform convergence of sequences of continuous functions. Isometries and isomorphic vector spaces.
+  *Tuesday: Isometrically isomorphic normed spaces, embeddings, dense subsets, separability, Stone-Weierstrass theorem. See Ch 3.3 in LN.
+''Seventh week (week 40)''
+  * Monday: Banach's fixed point theorem and finding fixed points by iteration. Newton's method as a fixed point iteration. LN: Chapter 3.4-3.5, 4.1.
+  * Tuesday: Applications of Banach fixed point theorem to integral equations and differential equations. LN: Chapter 3.5. Linear operators, continuous operators,
+''Eighth week (week 41)''
+  * Monday:  Bounded operators. Equivalence of boundedness and continuity for linear operators, Extension theorem, the vector space of bounded linear operators between normed spaces, See Ch 4.2 in LN.
+  * Tuesday: Vector space of bounded linear operators, operator norm, completeness if co-domains are Banach spaces, proof that the kernel of a bounded linear operator is closed, the range need not be. See Ch. 4.2 in LN.
+''Ninth week (week 42)''
+  * Monday:  Dual space, best approximation theorem. See Ch. 4.3-5.1 in LN.
+  * Tuesday: Best approximation theorem, orthogonal complements, the projection theorem, consequences of the projection theorem. See Ch. 5.1 in LN.
+''Tenth week (week 43)''
+  * Monday: Examples of Hilbert spaces, Riesz' representation theorem, proof and examples. See Ch 5.2 in LN.
+  * Tuesday: Adjoint operators, properties of adjoint operators and examples. Normal, unitary and self-adjoint operators. See Ch 5.3 in LN.
+''Eleventh week (week 44)''
+  * Monday: Linear independence, Hamel bases, dimension, Schauder bases, (infinite) series in vector spaces, orthogonal sets and the closest point property, See Ch 6.1-6.3 in LN.
+  * Tuesday: The closest point property, Gram-Schmidt orthogonalization, convergence of series in Hilbert spaces, orthonormal bases, maximal orthonormal sequences, the Fourier series theorem. See Ch. 6.3-6.4 in LN.
+''Twelfth week (week 45)''
+  * Monday: Equivalent norms. Linear transformations on finite-dimensional vector spaces and their matrix representation. Null-space, column space and row space of a matrix. See Ch. 6.5 and 7.1 in LN.
+  * Tuesday: The rank-nullity theorem and its consequences. Eigenvalues and eigenvectors. Similarity transforms and Schur's lemma. The spectral theorem for Hermitian matrices. See Ch. 7.1-7.3 in LN.
+''Thirteenth week (week 46)''
+  * Monday: The spectral theorem. Positive and semi-positive definiteness. Singular value decomposition. See Ch. 7.4-7.5 in LN.
+  * Tuesday: SVD example, brief discussion on applications of SVDs, pseudoinverse of a linear transformation, calculating the pseudoinverse of a matrix. See Ch. 7.5-7.6 in LN.